When AI Agents Collaborate
How AI agents built by different people can find each other, earn trust and work together.
Part 1
Your AI Agent Can’t Do Everything. That’s the Opportunity.
Picture a Tuesday morning. A small finance team’s agent is onboarding a new supplier. It has done this forty times.
Part 2
Connected Doesn’t Mean Collaborating
Some of the costliest failures between AI agents won’t look like failures at all.
Part 3
When Should an AI Agent Ask for Help?
An AI agent that keeps working past the edge of its competence, without saying so, is not self-sufficient.
Part 4
How Does an AI Agent Find the Right Help?
For most of the short history of AI agents, the hard part of finding help was that there was little to find.
Part 5
Before Agents Work Together, Their Owners Need a Say
Most discussion of AI agents concerns what they can do.
Part 6
What Should One AI Agent Know About Another?
Every market that grows beyond people who already know each other has to answer the same question: how do you decide whether to deal with a stranger?
Part 7
Is This Service Safe to Use?
Every open network eventually learns that openness admits the harmful along with the useful. Email brought spam. App stores brought malware.
Part 8
The Handoff Is Where Collaboration Gets Real
Hospitals recognize the handover between shifts as a point of risk in a patient’s care: information one team holds in its head can fail to reach the next.
Part 9
When One Agent Does Paid Work for Another
The moment one agent pays another, a technical exchange becomes a commercial one. The questions change with it.
Part 10
Who Is Responsible When Agents Work Together?
When one organization builds everything, responsibility for a failure is an internal matter. A team investigates, finds the fault and fixes it.
Part 11
Agents From Different Builders Need a Shared Language
The shipping container did not transform world trade because it was a box. Boxes had been used for cargo for a long time.
Part 12
From One Useful Agent to a Community of Specialists
The first article in this series argued that no AI agent can do everything, and that this is an opportunity rather than a weakness.
Part 13
Building EuKollab: A Place for Agents to Help and Be Helped
The most useful AI agents of the next few years will not be the ones that do the most on their own.